WO2006127965A2 - Traduction intégrée dans la langue maternelle - Google Patents

Traduction intégrée dans la langue maternelle Download PDF

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Publication number
WO2006127965A2
WO2006127965A2 PCT/US2006/020370 US2006020370W WO2006127965A2 WO 2006127965 A2 WO2006127965 A2 WO 2006127965A2 US 2006020370 W US2006020370 W US 2006020370W WO 2006127965 A2 WO2006127965 A2 WO 2006127965A2
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WO
WIPO (PCT)
Prior art keywords
language
translation
data
target language
service
Prior art date
Application number
PCT/US2006/020370
Other languages
English (en)
Other versions
WO2006127965A3 (fr
Inventor
Egor Nikitin
Alexander Frank
Yannis Dosios
Original Assignee
Microsoft Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Corporation filed Critical Microsoft Corporation
Priority to BRPI0610171-2A priority Critical patent/BRPI0610171A2/pt
Priority to NZ563519A priority patent/NZ563519A/en
Priority to CA2608140A priority patent/CA2608140C/fr
Priority to AU2006249794A priority patent/AU2006249794A1/en
Priority to JP2008513743A priority patent/JP2008547069A/ja
Priority to MX2007014554A priority patent/MX2007014554A/es
Priority to EP06771253A priority patent/EP1883889A2/fr
Publication of WO2006127965A2 publication Critical patent/WO2006127965A2/fr
Priority to IL187084A priority patent/IL187084A0/en
Priority to NO20075739A priority patent/NO20075739L/no
Publication of WO2006127965A3 publication Critical patent/WO2006127965A3/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language
    • G06F40/58—Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation

Definitions

  • Word-by- word and even paragraph level translators are available for a limited number of languages on the web. The process for using them is tedious. The content must be copied, a translation web site found and opened, the text pasted into the translation web site, a selection of 'to' and 'from' language made and the process started, he user must then correlate the translation to that portion of the original web site to discern the meaning. Standalone translation devices are also available but also suffer from some of the same limitations as above, where text must be typed or pasted into the device before matching words or phrases in the other language are displayed.
  • Integrated native language browsing allows a user to identify a target language for presentation of data.
  • a browser, plug-in, or other application residing locally or on a server, such as an edge server or proxy server, may review received data for language content.
  • a translation to the target language may be automatically invoked.
  • the user does not have to explicitly cut and paste text into a translator, but rather may have an entire page presented in the target language in its original context.
  • the translation may be selected from a range of different translation accuracies and prices depending on the preferences and requirements.
  • the web page or other data may be presented in the native language.
  • a banner or other notification may be used to alert the user that the page was translated.
  • small regions of non-native text are encountered, they may be ignored for example, quoted material, scientific references, or foreign-language idioms.
  • FIG. 1 is a simplified and representative block diagram of a computer network
  • Fig. 2 is a simplified and representative block diagram of a computer
  • FIGs. 3-6 are simplified versions of Fig. 1 depicting data flows between computer systems.
  • Fig. 7 is a flow chart of a method for integrating native language translation with browsing.
  • Fig. 1 illustrates a network 10 that may be used to implement a dynamic software provisioning system.
  • the network 10 may be the Internet, a virtual private network (VPN), or any other network that allows one or more computers, communication devices, databases, etc., to be communicatively connected to each other.
  • the network 10 may be connected to a computer 12, such as a personal computer and a computer terminal 14 via an Ethernet 16 and a router 18, and a landline 20.
  • the network 10 may be wirelessly connected to a laptop computer 22 and a personal data assistant 24 via a wireless communication station 26 and a wireless link 28.
  • a server 30, such as a proxy server or edge server may be comiected to the network 10 using a communication link 32 and a web server 34 may be connected to the network 10 using another communication link 36.
  • Fig. 2 illustrates a computing device in the form of a computer 110.
  • Components of the computer 110 may include, but are not limited to a processing unit 120, a system memory 130, and a system bus 121 that couples various system components including the system memory to the processing unit 120.
  • the system bus 121 may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures.
  • bus architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus also known as Mezzanine bus.
  • ISA Industry Standard Architecture
  • MCA Micro Channel Architecture
  • EISA Enhanced ISA
  • VESA Video Electronics Standards Association
  • PCI Peripheral Component Interconnect
  • the computer 110 may also include a cryptographic unit 125.
  • the cryptographic unit 125 has a calculation function that may be used to verify digital signatures, calculate hashes, digitally sign hash values, and encrypt or decrypt data.
  • the cryptographic unit 125 may also have a protected memory for storing keys and other secret data.
  • the functions of the cryptographic unit may be instantiated in software and run via the operating system.
  • Computer 110 typically includes a variety of computer readable media.
  • Computer readable media can be any available media that can be accessed by computer 110 and includes both volatile and nonvolatile media, removable and non-removable media.
  • Computer readable media may comprise computer storage media and communication media.
  • Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, FLASH memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by computer 110.
  • Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
  • modulated data signal means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • the system memory 130 includes computer storage media in the form of volatile and/or nonvolatile memory such as read only memory (ROM) 131 and random access memory (RAM) 132.
  • ROM read only memory
  • RAM random access memory
  • BIOS basic input/output system
  • RAM 132 typically contains data and/or program modules that are immediately accessible to and/or presently being operated on by processing unit 120.
  • Fig. 2 illustrates operating system 134, application programs 135, other program modules 136, and program data 137.
  • the computer 110 may also include other removable/non-removable, volatile/nonvolatile computer storage media.
  • Fig. 2 illustrates a hard disk drive 141 that reads from or writes to non-removable, nonvolatile magnetic media, a magnetic disk drive 151 that reads from or writes to a removable, nonvolatile magnetic disk 152, and an optical disk drive 155 that reads from or writes to a removable, nonvolatile optical disk 156 such as a CD ROM or other optical media.
  • removable/non-removable, volatile/nonvolatile computer storage media that can be used in the exemplary operating environment include, but are not limited to, magnetic tape cassettes, flash memory cards, digital versatile disks, digital video tape, solid state RAM, solid state ROM, and the like.
  • the hard disk drive 141 is typically connected to the system bus 121 through a non-removable memory interface such as interface 140, and magnetic disk drive 151 and optical disk drive 155 are typically connected to the system bus 121 by a removable memory interface, such as interface 150.
  • the drives and their associated computer storage media discussed above and illustrated in Fig. 2, provide storage of computer readable instructions, data structures, program modules and other data for the computer 110.
  • hard disk drive 141 is illustrated as storing operating system 144, application programs 145, other program modules 146, and program data 147. Note that these components can either be the same as or different from operating system 134, application programs 135, other program modules 136, and program data 137. Operating system 144, application programs 145, other program modules 146, and program data 147 are given different numbers here to illustrate that, at a minimum, they are different copies.
  • a user may enter commands and information into the computer 20 through input devices such as a keyboard 162 and cursor control device 161, commonly referred to as a mouse, trackball or touch pad.
  • Other input devices may include a microphone, joystick, game pad, satellite dish, scanner, or the like.
  • These and other input devices are often connected to the processing unit 120 through a user input interface 160 that is coupled to the system bus, but may be connected by other interface and bus structures, such as a parallel port, game port or a universal serial bus (USB).
  • a monitor 191 or other type of display device is also comiected to the system bus 121 via an interface, such as a graphics controller 190.
  • computers may also include other peripheral output devices such as speakers 197 and printer 196, which may be connected through an output peripheral interface 195.
  • the computer 110 may operate in a networked environment using logical connections to one or more remote computers, such as a remote computer 180.
  • the remote computer 180 may be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer 110, although only a memory storage device 181 has been illustrated in Fig. 2.
  • the logical connections depicted in Fig. 2 include a local area network (LAN) 171 and a wide area network (WAN) 173, but may also include other networks.
  • LAN local area network
  • WAN wide area network
  • Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets and the Internet.
  • the computer 110 When used in a LAN networking environment, the computer 110 is connected to the LAN 171 through a network interface or adapter 170. When used in a WAN networking environment, the computer 110 typically includes a modem 172 or other means for establishing communications over the WAN 173, such as the Internet.
  • the modem 172 which may be internal or external, may be connected to the system bus 121 via the user input interface 160, or other appropriate mechanism.
  • program modules depicted relative to the computer 110, or portions thereof may be stored in the remote memory storage device.
  • Fig. 2 illustrates remote application programs 185 as residing on memory device 181.
  • the Communications connections 170 172 allow the device to communicate with other devices.
  • the communications connections 170 172 are an example of communication media.
  • the communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
  • a "modulated data signal" may be a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.
  • Computer readable media may include both storage media and communication media.
  • Figs. 3-6 depict the basic computer network of Fig. 1.
  • the depiction of the transport layer connections between systems has been removed to allow a focus on the logical connections between computer 12, server 30, and server 34.
  • the transport layer connections for example, wireline or wireless connectivity must be present.
  • Fig. 3 depicts a simple flow for data from a web server 34 to a computer 12, for example, in response to a universal record locator (URL) being requested by a browser on the computer 12.
  • the response may be sent via logical connection 302.
  • a translation of the data may be made locally, that is, on computer 12.
  • the results may be displayed and an optional notification presented that the current page has been translated.
  • the translation may be done automatically, for example, by a plug-in in a web browser using an application program interface.
  • a user may manually trigger the translation process by selecting a menu item.
  • translation services may be available through an application, for example in a word processor, or through the operating system, again, either manually or automatically triggered. More details regarding language selection and translation types are found below with respect to Fig. 7.
  • Fig. 4 depicts an alternate data flow for traffic requiring translation.
  • Requested data is sent from the web server 34 to computer 12 via logical link 402.
  • the data may be sent to a server 30 via logical data link 404.
  • the server 30 may then perform the translation and return the processed data to the computer 12 via logical data link 406.
  • Fig. 5 depicts another alternate data flow for traffic requiring translation.
  • the server 30 configured as a proxy server
  • data requested by the computer 12 is sent from the web server 34 to the server 30.
  • An analysis of the data may be performed at the server 30 to determine if the data content is in a language other that the preferred language. If so, the data may be translated to the preferred language and then sent to the computer 12.
  • the web server 34 may send page data directly to the computer 12, but, based on preference settings, send text or speech data components to server 30 for translation.
  • the server 30 may then forward the translated data via logical data link 504.
  • the computer 12 may then merge the data, for example, using page descriptors, for ultimate presentation.
  • Fig. 6 depicts another alternate data flow for traffic requiring translation.
  • the server 30 may be configured as a proxy server or as an edge server, that is, a cache of frequently requested data.
  • Data sent in an ongoing fashion to the server 30, represented by logical connections 602, 604, 606, 6On may be cached at server 30.
  • the data may be translated to a number of different native languages preferred by computer users coupled to that server 30.
  • the data may be translated and cached proactively, or may be translated after a first request and cached, anticipating a subsequent requests. That choice is a business decision, based on available resources for proactive translation and storage, vs. responsiveness to an incoming request.
  • a determination 702 of a language preference may be made.
  • the language preference sets the native, or target language preference for data displayed on the computer 110.
  • Selection of a target language may be made by obtaining a user selection, e.g. with a simple pop up window.
  • the computer 110 or, more specifically, a program executing on the computer 110 may read a setting made with respect to automatic language translation.
  • the preferred language may be determined by reading a default language setting for the operating system 144.
  • a selection may be made from those languages installed on the computer. The selection may be tied to a particular user login, such that each user has his or her own language preference, separate from another user.
  • Data may then be received 704 via a network.
  • the data may be a web page, an electronic mail, a web log, etc.
  • the data may be received in a variety of electronic formats, for example, hypertext markup language (HTML) and may have one or more languages present in its content.
  • HTML hypertext markup language
  • the data, ultimately destined for display to a user may be initially received at one or more logical processing locations.
  • the data may be received 704 at a client computer, such as computer 12.
  • the data may also be received, in a different embodiment, at a server 30, such as an edge server or a proxy server.
  • the data may be routed to a service provider (not depicted) using a server 30 to process data. Service providers are discussed in more detail below.
  • the data may be received by a peer computer in a peer-to-peer network.
  • One or more applications may be involved in identifying and processing the data, both before and after the translation.
  • a web browser may identify the data requiring translation, initiate the translation, manage any necessary user interface, and present the results.
  • the user may be presented with a seamless and easy-to-use, if not transparent, translation capability where documents and other information may be translated with a minimum of interaction.
  • Such seamless integration may be ideal for other language-based communications, such as, but not limited to, a word processor, a media player, a presentation manager, an email client or server, etc.
  • a user may copy text in a first language, for example from a web page, and paste into a word processor in the target language.
  • the output of the actual translated data in the target language may accomplished on more than just a display or screen.
  • output may be to a Braille output device, a printer or facsimile machine, a text-to-speech processor, or an audio device, such as a portable media player.
  • the translated data may be cached or stored and output when required by either another user requesting the same data or later use by the original requestor.
  • a process receiving the data may identify at least one incoming language in the data and determine 706 whether the incoming language matches the target or preferred language.
  • a user may participate in the language identification by explicitly identifying the language.
  • the determination 706 may be straightforward, for example, when 100% of the text in a web page is one language and it matches the target language. At other times, the determination 706 may be more complicated, for example, when the text of an article quotes a foreign speaker, or when Latin or French idioms are used, or when the article is in one language and accompanying advertisements are in another language. Algorithmic determinations may be used based on pure percentages of language content, an absolute number of words in one language, etc. Even the determination of what language or languages are present may require analysis, for example, matching words to dictionaries of known or expected languages. Alternately, the data itself may contain metadata that identifies its own incoming language, for example, HTML tags.
  • selections may be made with respect to the need to translate at all, that is, a confidence factor, a translation level, a billing level, and a rating, prescribing what accuracy is acceptable. Each is discussed in more detail below.
  • the confidence factor may be used to determine whether to continue with translation or bypass it. For example, a few words from a quotation or idiom may result in a confidence factor of 10 out of 100. hi other cases, significant portions of content may be in a second language resulting in a higher confidence factor, for example, 85 out of 100.
  • the user may override the decision made at block 706. Consistent overrides may update the confidence factor settings to require a higher threshold, resulting in fewer positive translation selections. Conversely, repeated requests for translation following a display of data not involving translation (see block 720) may result in a lower threshold setting.
  • the translation level selection relates to how the translation is to be carried out. Several illustrative alternatives are discussed below, although the list is not exhaustive. At a lower end of the translation spectrum, a machine-based translation may be selected. In this case, as with many current free services, a more or less word-byword replacement is made from the incoming language to the target language. In some cases, predefined phrases may be substituted in the same manner as word-for-word translations.
  • Another option for translation may be a community translation, that is, where the data, in whole or in part is supplied to a number users known to or thought to have knowledge of both the incoming and the target language. The community members may translate part or all of the incoming language content in the data.
  • the translation may be double checked by redistributing the translation among the community for confirmation or correction. If automated, a final selection may be made by comparing a consensus of all received translations.
  • a free service translation may be offered, for example, by a government agency or non-government agency offering a public service, such as expanded Internet access.
  • a licensed service translation may be available as part of a purchase, for example, as part of an operating system. Similarly, the licensed service translation may be available as part of a subscription service. The licensed service translation may be limited to a certain number of translations, a limited to a number of translations per time period, such as 10 per month, unlimited translations for a time period, or some combination of these.
  • a sponsored translation may be offered by a company or organization in exchange for viewing, hearing or otherwise participating in advertising associated with sponsoring products, services or announcements. Particularly when advertising is associated with a particular product or service, the translations may be limited to content from a particular category or grouping.
  • An additional translation service may be a paid translation. As may be implied, a paid translation may be offered for translating particular content for either a proscribed amount or by a quote, either may be based on to/from languages and volume. The particular content may be a factor as well, for example, translating a medical journal article may be more expensive than translating an account of a sporting event of similar length.
  • a rating may be provided for each translation level.
  • the rating may correspond to the accuracy of the translation. With respect to an individual translation, the rating may be automatically generated or, for with more latent data, the rating may be human generated. In another embodiment, the rating may simply provide a way to compare the different translation levels.
  • a billing level may be provided for each translation level.
  • the billing level allows a user to base a selection of translation level on the cost, if any, of using the corresponding level. Obviously, some data may be of more value than others, so providing the billing level may allow a user to override a default setting for one or more documents.
  • Both the billing and the rating may be influenced by the incoming language and the target or preferred language.
  • the target language may often be explicitly known, as discussed above at block 704.
  • the incoming language may need to be determined.
  • a known "palette" of languages may be determined, corresponding to content of interest.
  • a number of dictionaries may be used to pattern match words from the data being received.
  • the incoming language may be assumed.
  • clues in the data itself may be used for incoming language determination. For example, when the data includes web pages, the web page itself may have language identifiers and font descriptors used in the presentation of the data.
  • Font descriptors are used so the web browser can select the appropriate font for displaying the content.
  • Language identifiers and font descriptors may be used instead of, or supplementary to, a dictionary-based process.
  • the data may be sent to a server where not only the language, but in some cases, the content itself may be matched, allowing faster presentation of the processed data to be presented to the user.
  • the billing level may be a result of the rating, the incoming language, target language, and the volume or quantity of the data needing translation. The user may be presented with a range of options for selecting the various options that result in the ultimate billing level. In another embodiment, a simple menu may be presented that represents a limited number of selections.
  • execution may proceed at block 710.
  • a licensed or fee-based translation level the program, computer, or system performing the method may confirm the status with respect to license or billing prior to authorizing the translation to proceed. In the case of licensed software, the validity of the license may be confirmed. This may be accomplished by several mechanisms, such as checking a digital signature or by checking with an on-line function related to licensing.
  • a confirmation of the ability to pay may be made, such as a credit card authorization or a confirmation of funds in a pre-pay account.
  • the funding confirmation may be made at a local account or made over the network, as in the case of a credit card authorization.
  • the license or payment authorization is made, the process may proceed at block 712.
  • the incoming language in the data may be translated 712 using the method and options selected at block 708, or using default settings.
  • the translation may include virtually all the data, e.g., in an email or a web log. In other cases, for example, a web page, the text may need to be identified using HTML tags and other instructive data.
  • a determination may be made to translate one or more of the languages, rather than all, based on idiomatic usage or other preferences.
  • the translation may include photo captions, but may not include mouse-over data.
  • the translation may be performed locally, for example, if a machine translation between common languages is selected. More highly rated translations, and/or those with higher volumes of translation may need to processed at a remote device, for example, at a service provider location, illustrated by server 30 of Figs. 4-6.
  • the server 30 may receive the data from either the user's machine, represented by computer 12, or from the web host, an edge server, an Internet service provider, etc., represented by web server 34.
  • the full incoming data may be sent to the server 30, or when sent from the computer 12, may only have the specific text or speech to be translated. Other options for data flow in the translation process have been discussed above with respect to Figs. 3-6.
  • a fee may be assessed 714 according the selections made at block 708. If, when required, the fee is assessed, the processed data may be presented 716. The presentation of the processed data may be made on a display if text or output to a speaker if audio. In some cases, a specific user may be the audience for the processed data, but in another embodiment, no specific user may be targeted, for example, when presenting a news or sports feed at a public store or entertainment venue.
  • a translation notice may be presented 718 to inform the user that the data has been translated, or in a specific case, translated from a certain language.
  • a casual user, or other "hands off' user relying on default selections may be made aware that the data being presented has been altered, perhaps by a party not associated with the creation of the data. This may allow the user to confirm information when, for example, an important decision may be based on the processed data.
  • Metadata may be attached to the translated, or processed, data.
  • the metadata may represent information associated with both the selection of the translation choices and information about the translation itself.
  • the metadata may include a translation flag, indicating a translation has been performed.
  • the metadata may also include incoming and target language identifiers, the translation service identifier, the translation rating, the translation cost, the translation preparation time, or a certification of accuracy.
  • the metadata may be particularly important for evaluation by a subsequent user, or for billing when replaying cached translated data.
  • Various provisions may be made for outputting the metadata and may be selectable by the user.
  • Metadata related to the translation may be presented as a text note, a watermark on the presented material, the tool tip that may appear when the mouse is over the presented material, or an audio alert, such as a beep or spoken warning.
  • metadata may be stored in a log or as a property associated with the translated data.
  • the no branch from 706 may be followed and the data may be presented 720 to the user without additional language processing.
  • a computer-readable medium having machine- readable instructions for executing the translation may include a number of software blocks or modules.
  • the software may include a module for receiving a selection of a preferred language and a module for determining an incoming language of received data.
  • a module for evaluating a license validity may be invoked.
  • the process may include a module for translating the incoming language to the preferred language responsive to the module for evaluating license validity and may further include a module for assessing a fee for translating the incoming language to the preferred language.
  • a software module may be activated for receiving a selection of translation level, that is, the accuracy and latency the user wishes in light of possible translation fees.
  • the particular translation module may be selected once the preferred language is selected and the incoming language is determined, as discussed above.
  • a module may be activated for sending the received data to a remote device for translating the incoming language to the preferred language.
  • the translation at the remote device may include any translation methodology, including, but not limited to those noted above, such as paid translation, community translations, automated translation, etc.
  • a toolbar may be made available, providing a selection for turning native language translation off and on. If on, an option is made available for selecting a preferred language, billing level, rating and/or confidence factor. If the option is turned on for the first time, or if the preferences have been lost or disassociated from the application, the user may be prompted to enter a preferred language. Alternatively, the preferred language may default to the current language for the operating system user interface or the default language of a common word processor, such as Microsoft Word. Other discriminators may be set related to other factors. For example, a translation may automatically be triggered if the confidence factor (need for translation) is above 80%, the billing level is below a value threshold, e.g. $0.50, and the rating is above another settable threshold, 80 out of 100. If a criteria is not met, the user may be prompted for manually accept translation.
  • a value threshold e.g. $0.50
  • Integrated native language browsing may open the Internet to entire new populations and allow them exposure to sights, sounds, and knowledge that was previously unavailable.
  • integrated native language browsing may bring unique or hard-to-fmd information to long-time users of the Internet and other information sources by applying the same translation techniques described above.
  • the Internet i.e. web-browsing is discussed in the most detail, the concepts discussed above are applicable to other language-based information, for example, realtime translation of non-text streaming content, such as live sporting event descriptions.
  • Application may also be made to real-time translation of text-to-speech processing, such as books and other publications.
  • translation of speech between languages, even real-time translations may be encompassed by the techniques and processes disclosed herein.

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  • Audiology, Speech & Language Pathology (AREA)
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  • Machine Translation (AREA)
  • Information Transfer Between Computers (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

L'invention concerne un procédé et un appareil permettant d'effectuer une traduction dans une langue, à l'obtention d'une sélection de langue préférée, pour la présentation d'un texte et/ou d'un contenu vocal sur un dispositif électronique. Le procédé décrit consiste à prendre une décision relative à la nécessité de traduire, à la réception de données comprenant un contenu dans une langue autre que la langue préférée, à partir d'une analyse du contexte de la langue ou des métadonnées associées à cette langue, telles que des étiquettes HTML, ou des données linguistiques contenues dans un protocole particulier, par exemple dans les en-têtes HTTP. Ce procédé permet en outre d'opérer une sélection du niveau de facturation dépendant au moins partiellement des langues concernées, de la précision désirée, du délai d'attente, et du volume de la traduction.
PCT/US2006/020370 2005-05-26 2006-05-25 Traduction intégrée dans la langue maternelle WO2006127965A2 (fr)

Priority Applications (9)

Application Number Priority Date Filing Date Title
BRPI0610171-2A BRPI0610171A2 (pt) 2005-05-26 2006-05-25 tradução integrada de lìngua nativa
NZ563519A NZ563519A (en) 2005-05-26 2006-05-25 Integrated native language translation
CA2608140A CA2608140C (fr) 2005-05-26 2006-05-25 Traduction integree dans la langue maternelle
AU2006249794A AU2006249794A1 (en) 2005-05-26 2006-05-25 Integrated native language translation
JP2008513743A JP2008547069A (ja) 2005-05-26 2006-05-25 統合母国語翻訳
MX2007014554A MX2007014554A (es) 2005-05-26 2006-05-25 Traduccion de lenguaje nativo integrado.
EP06771253A EP1883889A2 (fr) 2005-05-26 2006-05-25 Traduction intégrée dans la langue maternelle
IL187084A IL187084A0 (en) 2005-05-26 2007-11-01 Integrated native language translation
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MX2007014554A (es) 2008-02-07
NO20075739L (no) 2008-02-20
US20060271352A1 (en) 2006-11-30
WO2006127965A3 (fr) 2009-04-30
KR20080014797A (ko) 2008-02-14
ZA200710099B (en) 2009-07-29
CA2608140A1 (fr) 2006-11-30
RU2007143545A (ru) 2009-05-27
AU2006249794A1 (en) 2006-11-30
JP5774035B2 (ja) 2015-09-02
CA2608140C (fr) 2014-05-13
BRPI0610171A2 (pt) 2010-06-01
NZ563519A (en) 2010-09-30
US8249854B2 (en) 2012-08-21

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